SAR Raw Data Simulation for Fluctuant Terrain: A New Shadow Judgment Method and Simulation Result Evaluation Framework

Chen, Zhanye; Zeng, Zhiqiang; Huang, Yan; Wan, Jun; Tan, Xiaoheng

doi:10.1109/tgrs.2021.3117863

Cited by 13 publications

(10 citation statements)

References 37 publications

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“…Then, the 'flat-terrain' assumption is no longer valid, since the mismatch between the range history of the real echo and the theoretical model will degrade or even fail the performance of the imaging algorithm. The effect of terrain fluctuation on the signal model should be considered, such as the shadow-considered signal model in our recent work [13].…”

Section: Cf-sar Trajectorymentioning

confidence: 99%

“…However, these FFBPAs based on sub-aperture imaging are all topography-sensitive. For CF-SAR with a large swath width, the imaging scene cannot be approximated to a flat plane [13]. It is necessary to research the corresponding fast and focused BPAs for the imaging of fluctuant terrain.…”

Section: Time Domain Algorithmmentioning

confidence: 99%

“…Several new configurations of CF-SAR, such as multi-channel and bi-/multi-static, have the potential to make full use of spatial, angular, and frequency resources of radar. However, how we should allocate these resources reasonably to maximize the efficiency of resource utilization has not yet been resolved, such as breaking through the limits of physical resolution, obtaining multi-dimensional and multi-angle imaging capabilities, having a continuous video imaging function, and exact image inversion under the case of complex terrain or lack of echo [13].…”

Section: Design Of Imaging Algorithm With Low Computational Complexit...mentioning

confidence: 99%

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Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

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The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result of the comprehensive practicality of SAR. The flight path of the SAR platform in real applications, which is highly nonlinear or curvy due to three-dimensional velocity and acceleration, cannot be described by the traditional uniform linear motion model. New mathematical models, signal characteristics, imaging algorithms, and system design criteria must be proposed and investigated for CF-SAR. This paper provides a comprehensive overview of CF-SAR. Firstly, the basic concept, unified model, and general signal characteristics of CF-SAR are defined, derived, and analyzed, respectively. Additionally, the advantages and drawbacks of current methodologies are reviewed. Discussions on the CF-SAR’s applications are presented from the perspective of typical platforms, new configurations, and advanced technologies, which are suitable means to fulfill the increasing user requirements. Finally, the challenges faced by CF-SAR are summarized, and some future trends for the study of CF-SAR are explored. Hopefully, this paper will serve as a reference for SAR researchers/engineers and stimulate the future development and actual application of CF-SAR.

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Section: Cf-sar Trajectorymentioning

confidence: 99%

Section: Time Domain Algorithmmentioning

confidence: 99%

Section: Design Of Imaging Algorithm With Low Computational Complexit...mentioning

confidence: 99%

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Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

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“…Shadow and layover are a kind of geometric distortion. The existence of the shadow can block some or all of the targets, resulting in blind spots [4]. The existence of the layover undermines the continuity of the interference phase, resulting in unavoidable errors of filtering and unwrapping in the data processing [5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Shadow and Layover Segmentation Network for Multi-Angle SAR Images Fusion

Zhang

Yin

et al. 2022

IEEE Access

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Shadow and layover are geometric distortion phenomenons in side-view imaging synthetic aperture radar (SAR) systems, especially in mountainous areas and densely populated urban areas. The shadow can block the target of the observation area, making it impossible to obtain the scattering characteristics of the target. The layover causes phase distortion and alters target characteristics. Shadow and layover severely hinder the interpretation of SAR images. To confront the above problems, a multi-angle fusion algorithm based on unsupervised progressive segmentation network is proposed. Firstly, inspired by mega-constellations of low earth orbit, a spaceborne SAR collaborative observation model is proposed to generate multi-angle images of fluctuant terrain. Secondly, according to the difference of echos in the shadow and layover regions, an unsupervised progressive segmentation network is designed to sequentially segment the shadow and layover regions. Finally, to improve the contrast and brightness of the fused SAR image, a single-scale weighted fusion algorithm is designed. Experiments were conducted using the simulated multi-angle SAR images. Compared with single-angle images, the accuracy of target detection and figure-of-merit of the fused SAR image are significantly higher than those of other methods.INDEX TERMS Shadow and layover, synthetic aperture radar, unsupervised progressive segmentation network, multi-angle fusion.

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“…Introduction: SAR [1,2] is less dependent on weather and time than other imaging sensors. Therefore, it plays an important role in surveillance applications, geosciences and remote sensing.…”

mentioning

confidence: 99%

A chirp scaling algorithm based on the method of series reversion for bistatic SAR

Cha

Ning

et al. 2022

Electronics Letters

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For the problem that the existing chirp scaling algorithm based on the method of series reversion (MSRCSA) needs to approximate the range cell migration (RCM) into a linear term of range and causes a larger range cell migration correction (RCMC) error, we propose an improved MSRCSA, which is able to focus azimuth‐variation bistatic SAR. Firstly, to avoid the linear approximation for RCM, this paper derives a new curvature factor varying with the azimuth frequency and range, utilizing to describe RCM without any approximation. Secondly, since the new curvature factor is different with the traditional curvature factor varying only with the azimuth frequency, a new scaling function is given to modulate the echo signal so that the required range‐variant RCMC shift can be implemented by using phase multiplies. Thirdly, the proposed MSRCSA is implemented by utilizing three phase multiplications and four fast Fourier transforms (FFTs). Finally, the good performance of the proposed MSRCSA is examined by comparing the imaging result of the proposed MSRCSA with that of the existing MSRCSA.

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SAR Raw Data Simulation for Fluctuant Terrain: A New Shadow Judgment Method and Simulation Result Evaluation Framework

Cited by 13 publications

References 37 publications

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

A Novel Shadow and Layover Segmentation Network for Multi-Angle SAR Images Fusion

A chirp scaling algorithm based on the method of series reversion for bistatic SAR

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